首页|Medical University of Warsaw Reports Findings in Artificial Intelligence (Development and application of explainable artificial intelligence using machine Learning classification for long-term facial nerve function after vestibular schwanno ma ...)
Medical University of Warsaw Reports Findings in Artificial Intelligence (Development and application of explainable artificial intelligence using machine Learning classification for long-term facial nerve function after vestibular schwanno ma ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligence is the subject of a report. According to news reporting out of Warsaw, Poland, by NewsRx editors, research stated, “Vestibular schwannomas (VSs) represent the most common cerebellopontine angle tumors, posing a challenge in preserving fac ial nerve (FN) function during surgery. We employed the Extreme Gradient Boostingmachine learning classifier to predict long-term FN outcomes (classified as Ho use-Brackmann grades 1-2 for good outcomes and 3-6 for bad outcomes) after VS su rgery.”
WarsawPolandEuropeArtificial IntelligenceCyborgsEmerging TechnologiesHealth and MedicineMachine LearningNeurilemmomaOncologySchwannomaSurgeryVestibular Schwannoma
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